Understanding Virtual Environments for Data Science / Data Analysis - P.4

Python Fundamentals Course (DataCamp) 👉🏼 https://lukeb.co/PythonBasicsDataCamp Data Analyst Track w/ Python (DataCamp) 👉🏼 https://lukeb.co/PythonAnalystDataCamp (My recommended courses that I took to learn Python!) This video helps understand the basics of virtual environments & package managers that data analysts and scientists will encounter when working with python. We cover simple concepts to start and then work into implementing virtual environments & installing packages with conda (Anaconda). For pip and venv (virtualenv) users, I call out the differences so you can follow along as well. Differences of conda v. pip v. virtualenv 👉🏼 https://docs.conda.io/projects/conda/... My playlist for starting Python 👉🏼    • Python Setup   Download Python w/ Anaconda here 👉🏼 https://www.anaconda.com/products/ind... Download VS Code here 👉🏼 https://code.visualstudio.com/download Certificates & Courses ================================== Coursera Courses: 📜 Google Data Analytics Certificate (START HERE) 👉🏼 https://lukeb.co/GoogleCert 💿 SQL for Data Science 👉🏼 https://lukeb.co/SQLdataScience 🧾 Excel Skills for Business 👉🏼 https://lukeb.co/ExcelBusinessAnalyst 🐍 Python for Everybody 👉🏼 https://lukeb.co/PythonForEverybody 📊 Data Visualization with Tableau 👉🏼 https://lukeb.co/Tableau_UCDavis 🏴‍☠️ Data Science: Foundations using R 👉🏼 https://lukeb.co/RforDataScienceJH Coursera Plus Subscription (7-day free trial) 👉🏼 https://lukeb.co/CourseraPlus DataCamp Courses: 🐍 Python 👉🏼 https://lukeb.co/PythonBasicsDataCamp 📈 Power BI 👉🏼 https://lukeb.co/PowerBIDataCamp 📊 Tableau 👉🏼 https://lukeb.co/TableauDataCamp 🏴‍☠️ R 👉🏼 https://lukeb.co/RDataCamp 🐍 Data Analyst w/ Python 👉🏼 https://lukeb.co/PythonAnalystDataCamp DataCamp Subscription (Monthly $25USD) 👉🏼 https://lukeb.co/DataCampSub 🙋🏼‍♂️ My Courses 👉🏼 https://lukeb.co/courses My Tech for Data Science (Includes Amazon Affiliate Links) ================================== 💻 Dell New XPS 13 (PC of choice) 👉🏼 https://geni.us/DellNewXPS13 💻 Dell New XPS 15 👉🏼 https://geni.us/DellNewXPS15 👨🏼‍💻 M1 Macbook Air 8GB (Mac of choice) 👉🏼 https://geni.us/M1macAir8GB 👨🏼‍💻 M1 Macbook Pro 8GB 👉🏼 https://geni.us/M1macPro8GB 🔌 Must-have Mac dock 👉🏼 https://geni.us/CalDigitTS3 🖥 M1 Multiple monitor adapter 👉🏼 https://geni.us/DisplayLinkAdapter ⌨️ Mac Keyboard 👉🏼 https://geni.us/MacMagicKeyboard 🖱 Mac Mouse 👉🏼 https://geni.us/MacMagicMouse 💾 Small (1TB) External HD 👉🏼 https://geni.us/WDelements1TB 💾 Large (14TB) External HD 👉🏼 https://geni.us/WDelements14TB 🏢 Standing Desk 👉🏼 https://geni.us/StandingDeskFezibo 📗 Data Science Must Read 👉🏼 https://geni.us/StorytellingWithData 📸 Camera of Choice 👉🏼 https://geni.us/SonyA6600body For computers, I recommend checking the manufacturer's website (i.e., dell.com) for deals/rebates Social Media / Contact Me ====================== 🙋🏼‍♂️Website: https://www.lukebarousse.com/ 🌄 Instagram:   / lukebarousse   ⏰ TikTok:   / lukebarousse   📘 Facebook:   / datavizbyluke   📥 Business Inquiries: [email protected] As an Amazon Associate, I earn a small commission from qualifying purchases on the Amazon links above. It costs you nothing but helps me in keeping the content coming. 00:00 Intro 01:14 The need for packages & managers 03:28 Using packages & package managers (coding example) 07:34 The problem virtual environments solve 09:32 Showing the problem (coding example) 12:35 The concept of virtual environments 14:40 Using virtual environments (coding example) 18:39 Conclusion #vscode #pythontutorial #datavisualization